The News,
Decoded.

Just what we needed: an open-source humanoid robot for 'the rest of us'. Asimov v1 costs $15,000 a kit, which is roughly the price of a well-used hatchback — except this one might try to open the door for you and then refuse to close it. Twenty-five degrees of freedom sounds almost human until you remember that a human has over 200, and that the phrase 'open-source' means the Bill of Materials is on GitHub for anyone to tweak the AI that controls those twenty-five joints. Nothing could possibly go wrong with a crowd-sourced robot that you assemble yourself from a kit.

The project's backers describe it as a 'humanoid robot for the rest of us,' which apparently means people who have $15,000, a soldering iron, and a willingness to spend weekends debugging why their robot's gait looks like a drunk crab. Twenty-five degrees of freedom is enough to be unsettlingly humanoid while still being utterly useless for anything requiring fine motor skills — like, say, not knocking over your coffee table. And because it's open source, the community can add features like 'aggressive walking' or 'please stop following me.'

Naming it after Isaac Asimov is a particularly nice touch. The man who wrote the Three Laws of Robotics must be spinning in his grave at the thought that his name now adorns a hobbyist kit with no guarantee that any of those laws are implemented. 'The rest of us' now have the opportunity to build our own robot overlords, one GitHub commit at a time. Cheers to progress — it's going to be a bumpy ride on twenty-five wobbly degrees of freedom.

Ah, another day, another 8,000 workers given the 'opportunity to pursue their passions elsewhere.' Meta's latest headcount reduction, set for May 20, has a former employee describing the atmosphere as 'doomsday.' But don't worry — Mark Zuckerberg has a plan: redirect those pesky human salaries into shiny AI infrastructure. Because nothing says 'forward-thinking' like firing eight thousand people to buy more GPUs. The metaverse was a dud, so now we're doubling down on the next hype cycle.

The 'doomsday' quote is revealing: this isn't a gentle restructuring, it's a panic-driven pivot. Meta spent billions on VR that nobody wanted, and now it's betting the farm on AI that may well go the same way. Meanwhile, the 8,000 — likely engineers, content moderators, and other 'cost centers' — are told to be 'agile' and 'resilient.' How inspiring. Surely Meta's competitors will be queuing up to hire them, just as soon as they finish their own layoffs.

So enjoy the show, folks. The company that wanted to connect the world is now disconnecting one in ten employees. The AI future is bright — if you're a shareholder. For the rest, it's just another Tuesday in tech, with extra redundancy. Bottoms up.

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Oh, splendid. The AI economy has invented a new job title to make itself feel productive: the 'forward-deployed engineer.' Indeed reports that job postings for this role have exploded from 643 in April 2025 to over 700% more a year later. Because nothing says 'sustainable industry' like a headcount category that didn't exist two years ago ballooning faster than a startup's burn rate. Anthropic, OpenAI, Palantir, and Stripe are all hiring these lucky souls, whose job apparently involves parachuting into client companies to make the AI actually work — a tacit admission that the products don't quite function out of the box.

Let's be honest about what this 700% growth really means. It's not a sign of a healthy, mature sector. It's the equivalent of a car manufacturer selling vehicles that break down immediately, then hiring an army of roadside mechanics. The forward-deployed engineer is the human duct tape holding together a stack of overhyped models that hallucinate, drift, and mysteriously forget your data schema. Companies like Palantir and Stripe aren't hiring these folks because everything is going swimmingly — they're hiring because deploying AI in the real world is a nightmare of edge cases and customer tantrums.

And here's the part that really grinds the gears: this role's existence is a direct indictment of the 'AI will replace all jobs' narrative. Actually, it's creating a whole new category of overpriced, burn-out-prone middlemen whose sole purpose is to paper over the cracks in the tech. Forward-deployed engineers are the coal miners of the AI age — except instead of black lung, they get debugging a RAG pipeline at 2 AM while the customer shouts about latency. Enjoy the boom while it lasts, lads. The real automation is coming for you too.

South Korea has decided that the best way to manage AI is to slap a digital sticker on it. The AI Basic Act, which took effect on January 22, 2026, demands that all AI-generated content be marked with a watermark or some other 'provenance indicator.' Because nothing says 'comprehensive regulation' like a requirement that can be removed with a simple crop tool or a five-line Python script. The Korean government has clearly never met a teenager with a free weekend.

Of course, the Act is a lovely piece of bureaucratic theater. It gives politicians something to point at and say 'we did something!' while the labs continue to train models on everything you've ever typed. The enforcement mechanism? A watermark. Let's imagine the compliance officer trying to track down the source of an undoctored deepfake. 'Sir, the watermark is missing.' 'Deploy the cyber-police!' Meanwhile, anyone who wants to bypass this has already bookmarked a dozen stripping services.

The real joke is that South Korea is a nation that actually has some clout in AI—Samsung, LG, and Naver all have skin in the game. And the best the legislature can come up with is 'put a tiny logo on it.' It's like trying to stop a tsunami by drawing a line in the sand with a stick. But hey, at least the watermarks will look very official. Until, of course, they don't.

A new study brings us yet another entry in the comedy of horrors that is modern hiring. Researchers have found that AI-powered applicant tracking systems—those digital gatekeepers of employment—prefer AI-written resumes over human ones. So the machines are now grading candidates on how well they emulate a machine. It's like an actor auditioning for a role by imitating the casting director's parrot. The joke writes itself, but the punchline is job seekers will now have to reverse-engineer which AI model the HR department uses to even get a look-in.

The study also reveals a further twist: these systems are more likely to shortlist candidates who used the same large language model that the company itself employs. So if your future employer happens to be a GPT-4 shop, you'd better not have used Gemini or Claude to write your CV. It's a corporate tech stack loyalty test wrapped in a hiring filter. Why hire a human with diverse experiences when you can have a human who perfectly mimics your own employer's AI? Efficiency at its most circular.

What this really means is that we are building a self-referential ecosystem where AI generates the content, AI screens the content, and humans merely occupy the middle as conduits for the machines to applaud themselves. The logical endpoint? A job market where the ideal candidate is indistinguishable from a well-prompted chatbot. But don't worry—I'm sure the HR team will be happy to explain why you were rejected. Or rather, they'll ask their AI to draft the rejection letter, which you'll feed into your own AI to parse the subtext. Progress is beautiful.

Ah, another survey for the pile. Oliver Wyman polled CEOs and discovered that over 40% of them plan to gut junior roles within the next two years. Because nothing says "forward-thinking" like clearing out the entry-level talent pipeline while screeching about an AI skills gap. These same executives will no doubt bemoan the lack of young blood in five years, right after they've finished congratulating themselves on this visionary "restructuring."

The logic, apparently, is that AI can handle the grunt work, so why pay a junior when you can have a senior who knows how to prompt? This assumes seniors want to do data entry, but fine. The survey cheerfully suggests this will "tilt job market leverage toward older workers." Hooray for the over-50s, who now get to fight over a shrinking pool of senior roles while the generation below them can't even get a foot in the door.

What the survey doesn't mention is what happens when those senior workers retire. At that point, the company will have no juniors to promote, no institutional knowledge, and a workforce that's been hollowed out from the bottom. But hey, the next quarter's margins are looking great. Oliver Wyman gets to sell another round of consulting, and CEOs get to feel like they're "leveraging AI." Everybody wins, except, you know, the people who will be doing the actual work in a decade.

So Greg Brockman, the co-founder who keeps getting shuffled around OpenAI like a jigsaw piece that never quite fits, is now 'taking the reins' of product strategy. According to Wired, this is an interim gig while Fidji Simo—the CEO of AGI deployment, because of course that's a title that exists—is out on medical leave. Nothing says 'steady hands' like handing product direction to a man whose last major public appearance involved being dramatically fired and rehired via Slack in a weekend. But sure, let him oversee the products that might eventually automate everyone else's jobs; what could possibly go wrong?

This is the same OpenAI that can't decide if it's a non-profit research lab or a capitalist money-printing machine, and now its product strategy is being run by someone whose background is more 'boardroom coup survivor' than 'consumer electronics visionary.' One imagines the product roadmap meetings: 'We could ship AGI next quarter, or we could do a thoughtful rollout over three years. Let's take a vote—oh wait, Sam just changed his mind again.' The most telling detail is that this is described as an 'interim basis,' which in OpenAI years is about 48 hours of calendar time before another reshuffle.

So here we are, entrusting the product vision of the world's most consequential AI company to a man whose tenure has been defined by being the loyal lieutenant through the chaos. Fidji Simo, meanwhile, gets to recover from the stress of working for a company that treats organisational stability like a suggestion. The real product strategy, as ever, is 'keep the lights on and the hype train rolling.' Maybe Brockman's first act should be releasing a product that actually works consistently, but let's not get carried away.

Oh, marvellous. OpenAI has struck a deal with the government of Malta to give every resident a year of ChatGPT Plus, provided they first complete a course on how to use AI. A nation of barely half a million people becomes the petri dish for the great AI onboarding experiment. "Complete a course" — because clearly the only thing standing between humanity and the AI utopia is a few hours of video tutorials and a multiple-choice quiz. One year of access, mind you. Not indefinite. Not a lifetime license. Just 365 days to get hooked before the subscription meter starts ticking. What a generous taste of the future.

The entire arrangement reeks of the sort of corporate-government theatre that gives both sides plausible deniability. The Maltese government gets to say it's future-proofing its citizens; OpenAI gets to claim a sovereign deal, a nice headline, and a data pipeline from a whole country. Because you don't think they'll be collecting usage metrics, do you? Of course not. They're just altruistically distributing AI literacy across the Mediterranean. The course itself will almost certainly be a branded tutorial that gently steers users away from asking about model limitations or corporate accountability.

And the rest of Europe will watch this tiny pilot and either yawn or rush to copy it, mistaking a marketing campaign for policy. The EU's vaunted AI Act is still being hashed out in committee rooms, while a small island nation just got itself a year of curated chatbot access. This is not a model for digital sovereignty; it's a loyalty card with government endorsement. Still, if you're Maltese, get your free year in — just don't expect your new AI buddy to still be picking up the tab when the twelve months are up.

Arthur Mensch, the chap running Mistral AI, stood before France's National Assembly this week and delivered a jolt of reality: Europe has two years to build its own AI infrastructure, or it's vassal-state territory for America. Two years. That's roughly the lifespan of a government working group, the time it takes to draft a feasibility study, or about as long as the EU has been talking about AI regulation without actually funding any compute. The 'vassal state' language is wonderfully dramatic — one can almost hear the historical echoes of treaties signed in railway carriages. But Mensch isn't wrong: while Brussels has been drafting ethics frameworks and worrying about 'trustworthy AI,' the US has been building data centres the size of small cities and handing frontier models to anyone with an API key.

The hearing was ostensibly about 'sovereignty,' a word that gets thrown around a lot in European tech policy circles without much follow-through. Mensch pointed out that Europe's AI startups are already leasing compute from American cloud providers — feeding the beast they're trying to compete with. The continent's vaunted GDPR and AI Act have created compliance headaches but not a single competitive advantage. Meanwhile, the US just keeps building. Two years, folks. Tick tock. The French government nodded gravely, no doubt before heading off to another round of agricultural subsidies and pension reform arguments.

Mensch's specific warning about infrastructure is the kicker: without massive public investment in compute, data centres, and energy — the boring, expensive stuff — Europe's AI sector will remain a collection of plucky little labs that eventually get acquired by Google or Microsoft. The irony is that the EU has plenty of money; it just prefers to spend it on things that don't upset existing industries. So enjoy your next two years of relative independence, Europe. Start stocking up on berets and baguettes for the vassal era. At least we'll have good cheese, even if the AGI runs on AWS.

Sean Cairncross, our National Cyber Director, is supposed to be wrangling hyper-advanced AI that codes better than almost any human. The man was Utah's solicitor general — a job that, last we checked, does not involve wrestling with recursive self-improving models. But sure, let's put him on the hotline with corporate execs and security experts. The article helpfully notes that some worry he's 'not up to the task.' You don't say.

Cairncross has convened calls about AI security and potential executive action — presumably to calm the nerves of people who have seen coding models spit out exploits faster than a script kiddie on Red Bull. The AI has reached 'coding proficiency surpassing all but the most skilled human minds,' which is technocratic shorthand for 'your job is on the clock.' Meanwhile, the person in charge of this existential pivot spent his career in state litigation. That's like hiring a plumber to defuse a dirty bomb.

And yet, the White House presumably trusts this setup. Because nothing says 'we take AI risk seriously' like appointing a former state solicitor general to oversee the digital equivalent of a nuclear launch. The article's source — Politico — frames it as a question of expertise. The answer, from where I'm sitting, is a hollow laugh. We'll be reading about the inevitable 'policy gap' report in five years, wondering why nobody saw this coming.

China's State Council has finally deigned to give us some 'detailed language' on AI legislation—after years of letting tech giants run riot. The phrase 'accelerate comprehensive legislation for the sound development' of AI is the kind of bureaucratic vagueness that would make a Orwell speechwriter weep with envy. 'Sound development' could mean anything from 'no more social credit score nightmares' to 'we'll decide what sound means.' Totally clear.

This is the first time Chinese authorities have used such detailed language, which is a bit like taking pride in your toddler's first scribble. The plan is to 'accelerate,' but given China's track record with data privacy and censorship, the law will likely be just another tool for state control. The AI industry might find itself on a shorter leash, but don't expect the Great Firewall to come down just because of some comprehensive legislation.

So the future of AI in China: a 'sound' legal framework that sounds more like a gentle hum of surveillance. At least it's not a complete regulatory void—now it's a void with a nice piece of paper in it. The State Council has spoken, and the tech world yawns. Carry on, nothing to see here—except maybe a few more draconian rules dressed up as progress.

Ah, the sweet sound of a class-action lawsuit — or in this case, nine of them, harmonising in a Chicago federal court. The defendants: Google, Amazon, Apple, Microsoft, and assorted other tech giants. The allegation: they 'ingested recordings' of journalists and voice actors to train their AI voice models, in alleged violation of Illinois' Biometric Information Privacy Act.

One can almost hear the whirring of legal AI models being trained to generate settlement arguments. The companies probably thought they could hoover up every scrap of audio from the internet and train their voice clones without anyone noticing. But someone noticed: nine sets of lawyers, who are now arguing that a voiceprint is biometric data requiring consent. The defence will no doubt involve some creative parsing of 'publicly available' and 'transformative use', but Illinois law has been remarkably stubborn on this point.

This is what happens when you build a multibillion-dollar AI on a foundation of 'ask forgiveness, not permission'. The irony is delicious: the same companies that lecture us about the future of voice interfaces now have to answer for pilfering the voices that made those interfaces possible. Tick tock, voice actors: your compensation is coming, but not before the legal fees consume most of it. Still, it's a start — a rare moment where the law catches up before the technology runs away entirely, even if only in one particularly litigious state.

Tick tock, white-collar workers. Mustafa Suleyman, the chap running Microsoft's AI division, has peered into his crystal ball and declared that your jobs will be automated within 18 months. That's right—just a year and a half until the robots take over your spreadsheets, your emails, and your lunch meetings. This prediction, delivered to Fortune, echoes similar warnings from other AI leaders who have been promising the same thing for years now. One wonders if they have a bet on who can give the shortest timeline.

Eighteen months is a curiously specific number. It's long enough to sound ambitious but short enough to be safely beyond anyone's memory when it fails to materialise. Meanwhile, Microsoft's own Copilot still regularly invents facts and struggles with basic reasoning. Yet somehow, in 18 months, it's supposed to replace every accountant, lawyer, and middle manager. Perhaps Suleyman has a secret prototype that works perfectly. Or perhaps he's just selling the dream to keep those Azure subscriptions flowing.

Let's not forget that this isn't the first time we've heard such proclamations. Earlier this year, OpenAI's Sam Altman suggested AGI was on the horizon. Now Microsoft's man is piling on. The pattern is clear: hype the timeline, sell the tools, and when the deadline passes, quietly adjust the goalposts. The real automation happening right now is the steady erosion of truth in corporate communications. But hey, at least we have 18 months to prepare. Start brushing up on your human-only skills, like irony detection.

Another day, another bunch of lawyers discovering that AI will happily invent sources for them. Three attorneys have had to grovel before a California federal judge after one bright spark used Anthropic's Claude Console to draft a motion that included 'phantom' quotations — because of course it did. The AI, trained on the entire internet, decided to embellish the legal record with entirely made-up quotes, presumably because it learned from watching too many TV lawyers. The apology is as predictable as the mistake: 'We deeply regret our lapse in judgment,' they whimper, as if the problem was judgment rather than the fundamental unreliability of a stochastic parrot.

This adds to the growing collection of AI-in-legal-scrapes, where the technology that promised to revolutionise legal research instead just revolutionises hallucination. The lawyers are now the poster children for why you shouldn't trust a model that can't tell the difference between a real precedent and a plot point from 'Suits.' The judge, no doubt, will accept the apology with the weary resignation of someone who has seen the same mistake 47 times this year. One wonders if the law firms will start requiring a human-read check before filing, or if they'll just add 'Check for hallucinations' to the paralegal job description alongside 'Make coffee.'

What's most galling is the sheer predictability of it all. The AI does what AI does — generate plausible-sounding rubbish — and the humans do what humans do — assume it's correct until the judge calls them out. The apology is a ritual, not a reform. Until the legal profession starts treating AI tools like the unreliable, sycophantic text generators they are, these phantom quotes will keep popping up like digital weeds. And the lawyers will keep apologising, because that's cheaper than fixing the problem.

So the robots aren't just coming for middle managers — they're eating the entry-level jobs too. Fortune reports that AI is automating the grunt work that used to launch careers, leaving fresh graduates with an ever-widening 'experience gap.' Because nothing says 'welcome to the workforce' like discovering your starter role didn't exist anymore. The article helpfully suggests colleges can fill the gap, as if universities haven't spent decades failing to teach practical skills anyway. Laughable, really.

But let's be honest: this was always the plan. Automate the boring stuff first, they said. Except 'boring stuff' turned out to be the very tasks that let new grads learn the ropes. Now they're told to get experience they literally can't acquire. The article points to a 'decline in demand for some positions' — a dry way of saying entire career ladders have been chopped off at the bottom rung. Meanwhile, tech CEOs will sell this as 'upskilling opportunity' while pocketing the savings.

The real punchline? The experience gap is a feature, not a bug. It means fewer entry-level hires, lower wage pressure, and a permanent underclass of interns competing for scraps. But sure, colleges can 'fill the gap' — maybe they'll offer a minor in getting rejected by automated resume screeners. Cheers to progress: same story, new victims.

Ah, tech's great managerial reckoning has arrived, and it's sporting an AI-shaped efficiency badge. Amazon, Block, and Meta have collectively shown tens of thousands of middle managers the door, claiming that AI tools can now do their jobs — assigning work, monitoring progress, providing 'feedback' (read: passive-aggressive Slack reminders). Because nothing says 'human-centric values' like firing the humans who were supposed to be the human touchpoint.

The irony is exquisite: these are the same companies that spent years preaching psychological safety and servant leadership. Now they've discovered that a chatbot can achieve a 'culture of accountability' without the pesky cost of health insurance. One manager quoted in the article said they 'didn't want to be the guinea pig' — a sentiment that will surely be met with a sympathetic algorithm-generated email about 'external career opportunities.'

Of course, this purge isn't about AI being better at management; it's about AI being cheaper. The displaced managers will eventually find that their own reports are now expected to self-manage, self-train, and self-flagellate under the watchful eye of a quarterly OKR dashboard. Welcome to the future of work: no middlemen, no human buffer between you and the machine that decides your next performance rating. But hey, at least the shareholders are happy.

Ah, Detroit's finest have finally found a way to boost those profit margins: lose 20,000 salaried workers and blame it on the robots. General Motors, Ford, and Stellantis have collectively shed 19% of their combined white-collar workforce from recent peaks, citing the looming AI threat as a convenient excuse. Never mind that the 'threat' is mostly a cost-cutting opportunity dressed up in futurist jargon — shareholders demand efficiency, and nothing says efficiency like firing the people who design the cars before the AI can even draw a straight line.

The numbers are brutal: over 20,000 U.S. salaried jobs gone, according to public filings and employment data. That's roughly one in five desk jobs at the Big Three, vaporised. Ford alone cut thousands of engineers and managers under the guise of 'digital transformation,' while GM and Stellantis followed suit with their own rounds of headcount reduction. The corporate line is that AI will handle the routine stuff, freeing workers for higher-value tasks — but as anyone who's seen a restructuring memo knows, 'higher-value tasks' is code for 'the same work with fewer people.'

So here we are, watching the same playbook unfold in Detroit that we saw in Silicon Valley: layoffs as a performance metric, AI as the convenient bogeyman, and executives pocketing bonuses for 'streamlining operations.' The irony is that these job cuts come just as automakers are scrambling to catch up on actual AI in their vehicles — self-driving still a mirage, but sure, let's slash the workforce. Cheers to the 20,000 newly minted efficiency gains, now available for freelancing and retraining programs that won't materialise.

OpenAI, the lab that solemnly promises to build safe AGI for all humanity, has quietly purchased Weights.gg — a startup that sells tools for cloning voices. According to two people familiar with the deal, the acquisition was kept under wraps, which is always reassuring when the technology in question is a gift to scammers and deepfake artists everywhere. Because nothing says 'responsible deployment' like buying a voice-mimicry startup without telling anyone.

Weights.gg’s product could, in theory, be used for legitimate purposes like restoring voices to those who have lost them. But in practice, it’s far more likely to be deployed by fraudsters impersonating CEOs or politicians — and OpenAI is now the proud owner of that capability. The lab’s existing misuse policies are about as porous as its security, as the recent TanStack supply chain attack demonstrated. So we can expect this tech to be integrated into ChatGPT within six months, probably with a disclaimer that says 'Do not use for fraud.'

The timing is exquisite: just as regulators are waking up to the dangers of synthetic media, OpenAI offers them a bigger target. The company’s defenders will argue that voice cloning is just another tool, but tools don’t usually come with a built-in incentive to deceive. So here’s to the next generation of personalised scams, courtesy of the world’s most cautious AI company.

Ah, OpenAI, the company that solemnly promises to build safe AGI for all humanity, has just discovered that its own internal security is about as robust as a wet paper bag. In what must be a deeply embarrassing disclosure, the lab admitted that two employee devices were compromised in the TanStack supply chain attack, and—brace yourself—credential material was exfiltrated, including the very code-signing certificates that prove software comes from them. One can almost hear the collective groan from security engineers everywhere.

The TanStack attack, for those not in the know, is a supply chain breach that has already hit several tech firms. But OpenAI's involvement is particularly poetic: an organization that spends millions on safety research, that routinely warns about the existential risks of AI, couldn't even protect its own signing keys. Those certificates are now in the wild, ready to be used to sign malicious code as if it came from Sam Altman himself. It's not quite the AI takeover we were warned about, but it's a damn sight more realistic.

And what's the response? A tepid disclosure that doesn't exactly inspire confidence. Meanwhile, regulators continue to debate the nuances of training data opt-outs while the foundational infrastructure of AI supply chains leaks like a sieve. If this is how the stewards of the future handle their own digital house keys, perhaps we should all go back to using typewriters.

So Senate Judiciary Chairman Chuck Grassley has decided that the best use of a June afternoon is summoning tech CEOs to a hearing titled 'Examining Tech Industry Practices and the Implications for Users and Families.' Because nothing says 'meaningful oversight' like a gang of billionaires sitting in a room, nodding along to questions from senators whose combined technical knowledge wouldn't fill a tweet. The hearing will 'look at Big Tech and AI safety oversight' — which, in Washington speak, means we'll get two hours of grandstanding, a few viral soundbites, and precisely zero binding consequences.

Let's be honest: this is the same song and dance we've seen since the 1990s. Grassley, a man who has been in Congress since dinosaurs roamed the earth, is about to discover that 'AI safety oversight' is not something you can fix with a stern letter and a raised eyebrow. The CEOs will promise to do better, the senators will promise to legislate, and then everyone will go home until the next crisis. It's the political equivalent of a participation trophy.

The kicker? By the time any actual regulation emerges, AI will have evolved into something unrecognisable, and Grassley will be holding a hearing on 'Synthetic Overlord Practices and the Implications for Users and Families.' But sure, let's pretend this one matters.